def test_RobustStatisticsSegmenter_outputs(): output_map = dict(segmentedImageFileName=dict(position=-1, ), ) outputs = RobustStatisticsSegmenter.output_spec() for key, metadata in output_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_RobustStatisticsSegmenter_inputs(): input_map = dict( args=dict(argstr='%s', ), curvatureWeight=dict(argstr='--curvatureWeight %f', ), environ=dict( nohash=True, usedefault=True, ), expectedVolume=dict(argstr='--expectedVolume %f', ), ignore_exception=dict( nohash=True, usedefault=True, ), intensityHomogeneity=dict(argstr='--intensityHomogeneity %f', ), labelImageFileName=dict( argstr='%s', position=-2, ), labelValue=dict(argstr='--labelValue %d', ), maxRunningTime=dict(argstr='--maxRunningTime %f', ), originalImageFileName=dict( argstr='%s', position=-3, ), segmentedImageFileName=dict( argstr='%s', hash_files=False, position=-1, ), terminal_output=dict( mandatory=True, nohash=True, ), ) inputs = RobustStatisticsSegmenter.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_RobustStatisticsSegmenter_inputs(): input_map = dict(args=dict(argstr='%s', ), curvatureWeight=dict(argstr='--curvatureWeight %f', ), environ=dict(nohash=True, usedefault=True, ), expectedVolume=dict(argstr='--expectedVolume %f', ), ignore_exception=dict(nohash=True, usedefault=True, ), intensityHomogeneity=dict(argstr='--intensityHomogeneity %f', ), labelImageFileName=dict(argstr='%s', position=-2, ), labelValue=dict(argstr='--labelValue %d', ), maxRunningTime=dict(argstr='--maxRunningTime %f', ), originalImageFileName=dict(argstr='%s', position=-3, ), segmentedImageFileName=dict(argstr='%s', hash_files=False, position=-1, ), terminal_output=dict(mandatory=True, nohash=True, ), ) inputs = RobustStatisticsSegmenter.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value